The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 18, 2022

Filed:

Oct. 02, 2019
Applicant:

King Fahd University of Petroleum and Minerals, Dhahran, SA;

Inventors:

El-Sayed M. El-Alfy, Dhahran, SA;

Sadam Hussein Al-Azani, Dhahran, SA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G10L 25/18 (2013.01); G10L 25/63 (2013.01); G06K 9/42 (2006.01); G06T 7/269 (2017.01); G10L 15/02 (2006.01); G10L 25/57 (2013.01);
U.S. Cl.
CPC ...
G06K 9/629 (2013.01); G06K 9/00228 (2013.01); G06K 9/00275 (2013.01); G06K 9/00281 (2013.01); G06K 9/00744 (2013.01); G06K 9/42 (2013.01); G06K 9/628 (2013.01); G06K 9/6269 (2013.01); G06T 7/269 (2017.01); G10L 15/02 (2013.01); G10L 25/18 (2013.01); G10L 25/57 (2013.01); G10L 25/63 (2013.01); G06K 2009/00322 (2013.01); G06K 2209/013 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

A system and method for determining a sentiment, a gender and an age group of a subject in a video while the video is being played back. The video is separated into visual data and audio data, the video data is passed to a video processing pipeline and the audio data is passed to both an acoustic processing pipeline and a textual processing pipeline. The system and method performs, in parallel, a video feature extraction process in the video processing pipeline, an acoustic feature extraction process in the acoustic processing pipeline, and a textual feature extraction process in the textual processing pipeline. The system and method combines a resulting visual feature vector, acoustic feature vector, and a textual feature vector into a single feature vector, and determines the sentiment, the gender and the age group of the subject by applying the single feature vector to a machine learning model.


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